An image segmentation based on a genetic algorithm for determining soil coverage by crop residues

Ribeiro Seijas, Ángela; Ranz, Juan; Burgos Artizzu, Xavier; Pajares, Gonzalo; Sanchez del Arco, Maria J. y Navarrete, Luis (2011). An image segmentation based on a genetic algorithm for determining soil coverage by crop residues. "Sensors", v. 11 (n. 6); pp. 6480-6492. ISSN 14248220. https://doi.org/10.3390/s110606480.

Descripción

Título: An image segmentation based on a genetic algorithm for determining soil coverage by crop residues
Autor/es:
  • Ribeiro Seijas, Ángela
  • Ranz, Juan
  • Burgos Artizzu, Xavier
  • Pajares, Gonzalo
  • Sanchez del Arco, Maria J.
  • Navarrete, Luis
Tipo de Documento: Artículo
Título de Revista/Publicación: Sensors
Fecha: 2011
Volumen: 11
Materias:
Escuela: Otros Centros UPM
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Determination of the soil coverage by crop residues after ploughing is a fundamental element of Conservation Agriculture. This paper presents the application of genetic algorithms employed during the fine tuning of the segmentation process of a digital image with the aim of automatically quantifying the residue coverage. In other words, the objective is to achieve a segmentation that would permit the discrimination of the texture of the residue so that the output of the segmentation process is a binary image in which residue zones are isolated from the rest. The RGB images used come from a sample of images in which sections of terrain were photographed with a conventional camera positioned in zenith orientation atop a tripod. The images were taken outdoors under uncontrolled lighting conditions. Up to 92% similarity was achieved between the images obtained by the segmentation process proposed in this paper and the templates made by an elaborate manual tracing process. In addition to the proposed segmentation procedure and the fine tuning procedure that was developed, a global quantification of the soil coverage by residues for the sampled area was achieved that differed by only 0.85% from the quantification obtained using template images. Moreover, the proposed method does not depend on the type of residue present in the image. The study was conducted at the experimental farm “El Encín” in Alcalá de Henares (Madrid, Spain).

Más información

ID de Registro: 13716
Identificador DC: http://oa.upm.es/13716/
Identificador OAI: oai:oa.upm.es:13716
Identificador DOI: 10.3390/s110606480
URL Oficial: http://www.mdpi.com/1424-8220/11/6/6480
Depositado por: Memoria Investigacion
Depositado el: 15 Nov 2012 12:54
Ultima Modificación: 24 Feb 2017 17:53
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